Volume 05 Issue 02

Abstract: Crime analysis methods are used to analyze the crime data for finding different data trends and patterns in the crime. Crime can be predicted using different models. Crime analysis can find the trend of crime type in different locations. As the crime increases, the data to be processed also increases. The ability to predict the crimes based on the location, sample, and time can serve as a valuable source of information. To predict crime correctly with higher overall performance is a hard task due to the increasing numbers of crime. Therefore, crime prediction technique is critical to discover the future crime and thus to decrease the numbers of crime. In this survey, we are discussing about the overall performance of prediction models such as ARIMA model, Recurrent Neural Network, Long Short Term Memory which are used for crime analysis and prediction.

Abstract: The whole world is affected by the contagious disease, Covid-19 or Corona virus. The government has released many rules and regulations to prevent the outbreak of this corona virus. The very important step to avoid spread of these virus is to keep social distance and to wear double mask but many of the people are not following social distance in closed areas like shops, banks, etc which lead to increase the spread of corona. So we find a solution for this problem through our project. We implement a system through which the owner of a particular shop could monitor whether the people are maintaining social distance or not. Using a web camera we record the video of people entering shop and detect the people in that video. Then we count the number of people entered and exited from the shop and also calculate the distance between them. By keeping count of people we could limit their number and by calculating distance we could tell whether they are keeping social distance or not. If they violate the court number or social distance a warning message is shown in the terminator, so that the shop owner can warn them by the message of abnormal violations. We use YOLO, CNN, Open-CV with Computer Vision, etc to implement our project. Our project will be an asset for future as this project can used for prevention of all contagious diseases.

Abstract: The firefighting robot principle is a real-world implementation of computational robotics that involves the development of a simulated robot to accompany firefighters by putting out the fire. Our paper aims to develop a virtual reality firefighting robot that can be operated remotely using IoT technology is being planned. The desired procedure is carried out on a Raspberry Pi microcomputer, aims to provide as many extensive data about fires as possible. A fire extinguisher is mounted on the robot’s body, and its operation is controlled by a signal from the Node MCU output via the Blynk App. A relay module connects the fire extinguisher pump. The robot’s navigation is powered by a smartphone that has the Blynk Mobile app installed. The Node MCU ways to support is linked to a motor driver IC L293D, which allows the controller to power the DC motors used in robotic navigation. Our paper is also modified by coupling it to a pi camera so that the person in charge can monitor the robot’s activity from afar.

Abstract: Microwave ovens are designed primarily for heating and cooking food, providing an exhaustive exposure to electromagnetic radiations in the microwave frequency range which may varies from 900–2450 MHz within which it is commonly referred as an electric oven. Vacuum tube also called magnetron is of the three main component of a microwave oven which generates energy that heats food. The rapid heating of food in oven is possible by the power provided by the vacuum tube inside it. To do so, microwave oven emits two types of EM radiations, microwaves and low frequency radiations. Among which low frequency radiations contribute effectively to power the magnetron. This energy delivered is directed to the food with the help of a wave guide hidden in the wall. The chamber holds the food safely. Microwave oven heats food quickly and more efficiently. The energy consumption of microwave must have been so close to meet the monthly expenses of the common people that they could hardly fail to meet the utility bill. So a new system is inscribed in this paper by evaluating the energy consumption , economic growth and carbon emission. Additionally energy conservation measures for an oven is also analyzed.

Abstract: The proposed system is a crop harvesting system based on the Internet of Things (IoT), object recognition and automation technologies. The system helps to reduce the manual labor of the farmers by automating the identification and plucking of ripened fruit without a direct visit to the field. The system aims to reduce the tiresome tasks in the agricultural scenario. Harvesting using robotic arms reduces the amount of time spend by farmers in performing repetitive task. The proposed system includes object detection in the server side and harvesting using robotic arm in the hardware side.

Abstract: Traffic congestion in a road comprises increased vehicular queuing, slowing of vehicle speed and the total blockage of road segments. Relevance of this system comes here as it reduces traffic congestion through giving alert to upcoming vehicles in particular road segment .The alert can be about vehicular accident or it can be any block like fallen objects or even the heavy vehicular queuing would be informed to vehicles so that they can take alternate option of another road with less traffic intensity As this system provides sudden detection of road blocks due to an accident or other hazardous situation, it can alert the vehicles speedily than any existing system. RSU (road side unit) is the communication infrastructure between vehicle and a cloud server. Server receives and processes the information from vehicles and sends alerts and acknowledgements. Vehicle to vehicle communication is provided for the broadcasting of alerts. Communication network would be a vehicular adhoc network. Machine learning algorithm called support vector machine has been used to process the data.

Abstract: The management of municipal solid waste in India is a severe problem because of both environmental and aesthetic concerns. Moreover, this is compounded by the sheer quantity of waste that is generated per day. As of 2016, India is the largest producer of municipal solid waste, based on calculations by the World Bank and we are going to hold this dubious distinction till as long as 2050.One of the main issues with the current method of waste disposal is the inability to differentiate the waste materials at the point of collection itself. Also, the system can be made far more efficient provided we can understand when we need to collect the garbage. The proposed solution addresses both the above-mentioned issues. It consists of a sensor which can segregate the recyclable materials from the non-recyclable ones, enabling the processing of the waste to be efficient and less time-consuming. It also consists of an IoT based waste tracking system using which the garbage collector will receive a message once a particular waste bin gets filled to its top.

Abstract: We know that our world is developing at a rapid pace, and new technologies are getting invented every minute, especially in the industry sector. This is one product that will benefit any technology-driven factory. To explain this project in a single line, it is “A fully automatic or a semi-automatic electric heavy vehicle which can be used especially in the industrial sector”. This is a four-wheeler heavy vehicle that has a robotic arm in the front portion and the remaining portion can be used to store/keep the loads. The prototype of the product can be compared to a toy lorry (structurally), where instead of the driver’s seat we’ll place the robotic arm and the remaining portion is left free to load and unload the goods. The next feature of this vehicle is that, this is going to run with the help of a line follower, so that it moves in the desired path. We also provide a sensor at the front and the back so that the vehicle stops if there is any obstacle and that could be done by adjusting the distance for sensing the obstacle. The robotic arm used here can be controlled manually either by a smartphone or an IR remote. The main use of this product is to transport, load and unload goods with less human effort and we have also used stabilizer legs for stability purposes.

Abstract: Non-orthogonal multiple access (NOMA) is the promising technology in 5G and can utilize range proficiently. 5G devices have quicker data rate and are lower latency. We can use NOMA either as code, frequency or time. In NOMA we can serve multiple users simultaneously, hence NOMA has higher number of connectivity and improved user spectrum efficiency. There are mainly two types of NOMA plans, which are power-domain multiplexing and code-domain multiplexing. This followed power domain multiplexing by allocating different power levels to every users in according to the distance of the users. Nearest users provided with lowest power and farthest user provided with highest power. The Successive interference in NOMA is cancelled with the help of Coordinated Multipoint system (CoMP). In NOMA system, it is difficult to estimate Channel State Information (CSI). Here we introduce Least Square (LS), Minimum Mean Square Error (MMSE) and Neural Network methods to estimate CSI and compare these methods too.

Abstract: The adoption of electric cars (EVs) is projected to raise smart grid demand to meet diverse EV charging requirement. Therefore, the EV charging process at the supply station must be controlled in such a way that EV satisfaction level is increased when smart grid stability is maintained. The bidirectional power transfer between electric vehicles and the grid, i.e., Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G), is described in this article. We capitalize on EVs’ unused electric power and offer an EV load control approach based on EV charging and discharging harmonization. A peak load management model (PLM) is proposed for scheduling EV charging and discharging services based on power demand, as well as the moment and place where each EV must be served. An Electric Vehicle Supply Equipment (EVSE) model also designed to help EVs find a charging station based on queuing theory. Finally, MATLAB simulations are used to verify and confirm the suggested approach’s efficacy.

Abstract: This paper deals with the transformation of acoustic energy into electrical energy by using advanced piezoelectric transducer. Electricity is one of the most important blessing that science has given to mankind. It has also become a part of modern life and cannot think of a world beyond it, also exploration for novel and inexpensive energy resources are required in. By examining for new sources of energy it been observed that there are massive amount of acoustic pollution is generated all over the world.
The piezoelectric transducer can convert acoustic vibration into electrical energy. This domain of piezoelectric materials can be used to develop instrument which will absorb the acoustic waves travelling near to it and this sonic energy can be used to perform variety of functions by transforming it into conventional electrical energy .The sound level of the piezoelectric material choose for the experiment at the driving range 35-100dB. Assimilating this with the surrounding environment human noise level 50-100dB, it is found that the piezoelectric materials used in this study shows better performance of output power and sound level value. The size of the piezoelectric material will affect the efficiency of the transducer to harvest energy. In this paper a new method of harnessing the piezoelectric energy has been formulated. The output of piezoelectric transducer is connected to a harnessing circuitry for accumulating superior output. The harnessing circuitry has higher efficiency than other circuitry because of no extra voltage drop in the output. The output shows that the acoustic energy is effectively harnessed and stored in the assembled module.
On embodiment into a wide scale such as railway, airport etc.; conformable to circumstances to stir up a substantial amount of electric energy. Here the sound pollution is great extent and energy of sound is very high so it can produce a pleasant output.

Abstract: Our project is on Design and Development of Smart Shoe Wardrobe. The recent development of smart home technology is making people’s residential life more affluent. Due to usability issues in existing shoe rack designs, many designers have looked into the development of ergonomic shoe racks. However, They appear to be a number of possible flaws that still existing these ergonomic shoe rack designs. This paper objectives to design and develop a Smart Shoe wardrobe. If an automatic system is attached to a Shoe wardrobe it will give much amenity to people, Regular cleaning of shoes helps to avoid shoe stench and from various skin ailments. Operation are executed on an automatic basis with the help of a ARM11 Processor.

Abstract: The biggest crisis facing the world today is the corona virus or covid19. It is a disease that is affecting more and more people around the world. The disease took the lives of many people and destroyed many families. Most of the people in the Indian nation are ordinary. Many tests for Covid19 are expensive and beyond the reach of the average person. This paper presents a wearable sensor network system for Internet of Things (IoT) connected safety and health applications. An IoT network system which can monitor both environmental and physiological can greatly improve the safety of humans. The purpose of this project is to help patients with Covid19 bedridden patients at a very low cost to get to know about their physical state. We know that some of the symptoms of corona virus are respiratory diseases and high fever. If these symptoms can be monitored regularly, doctors can sometimes save the patient’s life. To this end, this project produces a very inexpensive, very accurate and easy to handle wearable mask. This mask is equipped with various sensors to detect symptoms. In addition, the sensor values the patient’s condition and allows the doctor to remote monitor the patient’s sitting position .With this wearable device, the patient’s breathing rate, oxygen level and temperature variations can be easily tracked. Therefore, doctors are able to take the right steps at the right time.

Abstract: Agriculture plays a significant mode in the economic sector. The population is increasing tremendously and with this increase the demand of food and employment is also increasing. The traditional methods which were used by the farmers were not sufficient enough to fulfill these requirements. The agrochemical application with the conventional sprayers results in the wastage of applied chemicals, which not only increase the economic losses but also pollutes the environment. In order to overcome these drawbacks, an image processing based real-time variable rate chemical spraying system was developed for the precise application of agrochemicals in disease the paddy crop based on crop disease severity information. The developed system comprised of web cameras, laptop, microcontroller, and solenoid valve assisted spraying nozzles. The system further calculated the disease severity level of paddy plants, based on which the solenoid valves remained on for a specific time duration so that the required amount of agrochemical could be sprayed on the diseased paddy plant. Field performance of developed sprayer prototype was evaluated in the variable rate application (VRA) and constant rate application (CRA) modes. The field- testing results showed a minimum 33.88 % reduction in applied chemical while operating in the VRA mode as compared with the CRA mode. Hence, the developed system appears promising and could be used extensively to reduce the cost of pest management as well as to control environmental pollution due to such agrochemicals.

Abstract: Everyone is aware that the traditional blood bank management system includes paperwork. Its way of working is not efficient enough at the time of emergency situations. The main aim of creating cloud-based blood bank system is to make the blood available on time to the people, even in emergency situations. The software system is an online blood bank management system that helps in managing various blood bank operations effectively. The algorithm used in this work is the Advanced Encryption Standard (AES) algorithm. The proposed work is done in python flask and html. The database used is sqlite3. The proposed work consists of a central repository containing various blood deposits available along with associated details. It is an online system that allows to check whether required blood deposits of a particular group are available in the blood bank. Moreover, the system also has added features such as donors can send notifications if the particular blood group is not available. The donors can register to the site if they are willing to donate. As the person did not need to go out far, for the search of the blood, this software helps to save the time to a great extent.

Abstract: Thermal performance of Solar Air Heater (SAH) is low due to poor heat transfer coefficients of air. Heat transfer rates in SAH will improve by using fins, ribs/corrugations and encapsulated Phase Change Material (PCM) on its absorber plate. Amongst all placing encapsulated PCM proved as most effective passive technique to improve thermal performance of SAH. Optimization of number of capsules and their arrangement on absorber plate of SAH is required before conducting an experimental analysis on SAH. In this paper, optimum number of capsules to be placed on a SAH is analytically found. Results compared in terms of external convection heat transfer coefficient, pressure drop across SAH and friction factor.

Abstract: Now a days metallic material is replaced by polymer or its composites due to high strength to weight ratio, self-lubricating, elasticity, low friction and high wear resistance. Wear behaviour for polymer composites is more complicated than metallic materials due to operating conditions and mechanical properties of polymers and fillers used. Polymers have ability to form a thin film against the metallic counterpart which changes the wear behaviour of polymers. In this paper an attempt is made to discuss the various wear models used by researchers focusing on different operating parameters like normal load, sliding velocity, time, counterpart roughness, temperature. Mathematical model or empirical equations have been developed corelating these properties to predict the wear of materials on the basis of mechanism of types of wear. Initially only operating conditions and hardness were considered and assumed that operating conditions are linear. Later on, various mathematical models were studied and it was observed that in most of the models the operating parameters are non-linear such as load, sliding speed, counterface roughness, time. The major influencing parameters for the wear behaviour of polymer composites are load, temperature, speed, elastic modulus, hardness and toughness where as it was also observed that some parameters affect the wear but are less significant.

Abstract: The trend showing the rise in electric vehicles is prominent and here to stay. Much more so, in the next decade electric vehicles may enter economical, mass-manufacturing market with dependable charging infrastructure in majority countries. As range being an important parameter for electric vehicles, we see many EV manufacturers incorporating a new form of braking system, called ‘Regenerative Braking System’(RBS). Simply said, RBS converts kinetic energy back into electric energy, all while stopping the vehicle. This paper summarizes the different approaches taken while designing and implementing RBS based on vehicle types like Minivans, Compact vehicles, busses, heavy duty vehicles, air hybrid engines, four wheel independently actuated electric vehicles, etc.

Abstract: This article explores the main challenges which are facing the automobile manufacturers, together with the steps which can be taken to manage the automotive supply chain and to minimize its impact. Supply Chain Management (SCM) has become one of the most complex elements in the world. Globalization has become a major part in the development of SCM practice. A superior SCM practice leads to the reduction of transportation cost, better supplier-consumer relationship and optimization of manufacturing and distribution. Many companies are continuously trying to improve their SCM practice in order to withstand their organizational competitiveness. This study discusses the various literature reviews on the complexities, implementation and functionality of SCM in the automotive industry.

Abstract: For the most recent many years, additive manufacturing (AM) has become an always expanding part of the advancement of new innovation and gadgets. However, it is as yet challenging to utilize this technology on a larger scale. In this review paper, we try to explain how we can used the combination of additive manufacturing (3D printing) with AI and how robot arm equipped for creating 3D printed parts. In this we state different application of this combination and its benefits. Now days robots are used in many industries like automobile industry for manufacturing of various parts, components, accessories the healthcare industry evolves rapidly in relation to incorporating the latest innovations and technology, mining industries. Also 3D printing technology is rapidly growing in many sectors. Therefore we think if we made combination of additive manufacturing (3D printing technology) and robotics then it will beneficial for many industries for their project work. In last decade this combination is used in many industries like building and construction, mechanical sector and also many manufacturing industries which based on 3d printing.

Abstract: Rack and Pinion are basically the mechanical elements used to convert circular motion into linear motion. It consists of a pinion which is basically a gear and rack which is a straight platform having the teeth on its one side. Generally material hardness for pinion is softer than rack material. In this paper, numerical analysis in mesh convergence study has been done for the assembly of rack and pinion. Fusion 360 has been used for the part of modeling and Ansys workbench has been used. Mesh convergence study have been done by comparing the results of hexahedron and tetrahedron mesh. The size of the element is approximately constant. It was observed that there is significantly difference on stress values for both mesh. However the mesh quality parameters observed to be near about same.

Abstract: The when two or more satellites, planets orbiting the same star or same primary and whose orbital mean motion is in ratio of whole numbers then we say they are in orbital resonance. So, in this paper we studied the properties of newly discovered exoplanets TOI-700d and TOI-700c by TESS satellite. We found both planets are in orbital resonance and due to this they are in tidal locking with each other. We found their orbital resonance period as 7:3 and synodic period as 27.951 days.

Abstract: In this work, an artificial neural network (ANN) based model for prediction of solar energy potential in Palakkad, a state in Kerala, was developed. Standard multilayered, feed-forward, back-propagation neural networks with different architecture were designed using python deep learning tool ‘keras’. Meteorological data of Palakkad for period of 5 years (2015 june–2021 may) from NASA Geo-satellite database were used for the training and testing the network. Meteorological data (mean temperature, wind speed, solar irradiation and relative Humidity) were used as inputs to the network, while the solar radiation intensity was used as the output of the network. The results show that the correlation coefficients between the ANN predictions and actual Mean monthly global solar radiation intensities for training and testing datasets were higher than 90%, thus suggesting a high reliability of the model for evaluation of solar radiation in Palakkad. The predicted solar radiation values from the model were given in form of daily maps. The daily mean solar radiation potential in Palakkad ranged from 7.01–5.62 to 5.43–3.54 kW h/m2 day, respectively. A tabulated daily data for future 1 year (2021 may-2022 may) were generated according with the date. The model can be used easily for estimation of solar radiation for preliminary design of solar applications in Palakkad region.

Abstract: A different combination of alloys has been experimented in the current trend, but some combinations are more significant than others, like Aluminum- Lithium alloy, which is highly known for its applications in the aviation and aerospace domain. The properties of this alloy urge for various research findings over it. This paper sums up major properties for the selection of material incorporates its tensile properties and its effects, fracture mechanism, most importantly fatigue life cycle, grain size, and its morphology, etc. The study over different grades of Al-li alloy are summarized along with its applications.

Abstract: This project is an attempt to develop an Electric Chainless Bicycle which addresses the various consumer problems as well as industrial problem of complex mechanical components and solves it. This project aims to provide better output at the optimum cost and input energy i.e., the energy given by the rider. Chainless bicycle has lower friction, lesser material is used for manufacturing and has better output. Electric Cycles support the user in conserving his/her energy. We aim to create a product which has potential market scope.

Abstract: The flexural strength of carbon black-filled epoxy resin was analyzed as a function of their volume content ratios. Carbon black filled epoxy specimens have enhanced flexural strength in comparisons with pure epoxy. In this paper we have made 5wt%, 10wt%, 15wt% of carbon black fillers added to the epoxy in various sizes such as 50μ, 100μ, 150μ. Flexural specimens were made as per ASTM D790 and tested in universal testing machine (utm) through three point bending test. Various results obtained were tabulated and optimized that 15wt% of 50 μ size carbon black fillers provide the best flexural strength.

Abstract: The project copes with the study the effect of road surface structure, the human health issues of laborers related to aircraft tire wear on airport runways. One of the major operations involved in the airport maintenance is to ensure the safe landing and takeoff of the aircraft, which is decided by the adequate runway pavement texture. Certain parameters of runway changes in a period of time due to several factors. Hence it is very important to check the runway conditions in a period of time. One of the major issues spotted in the runway surfaces which causes the unmanageable landing and take-off of aircraft by the presence of the rubber. When the wheels of the landing aircraft impact the runway pavement they deposit rubber on the pavement surface. The increase in the thickness of the rubber build-up is estimated to be about 0.05μm for each. The removal of the accrue rubber deposits plays a vital role in deciding the pavement skid resistance.

Abstract: Autonomous delivery robots are making change in the transportation system of the last mile delivery. Easy and less cost delivery make the peoples to attract into the field of the automation. This project is mainly into the build a autonomous robot for the last mile delivery of goods. Vehicles would need to be able to handle the extreme conditions on Indian roads such as avoiding major potholes, animals that share the roads with cars, other cars in the traffic signals, and dealing with the vast number of cars on the roads. This project is mainly aims to the implementation of the robots to the rural area. Navigation of the robot is implemented using the cameras.A WiFi controlled micro controller is used . The sensor in this projects is cameras. GPS , compass and ultrasonic sensors are used for the support of the navigation system. In order to reduce the damages caused by the roads , high clearance from the ground is provided.

Abstract: The frames serves as a framework for supporting the bike and different parts of the bike. Also, it has to withstand shock twists, vibration, and other stress caused due to sudden braking, acceleration and shocking road conditions. Weight reduction is now the main issue in the automobile industry. The purpose of the study is to reduce the weight of the trellis frame under acceleration and braking conditions. Various loading conditions like acceleration and braking were carried out on the chassis and the structural stability of the chassis is analyzed by using alternate material while maintaining the strength. The various materials are studied and the best material will be selected as the solution. Weight optimization is achieved in this project. The 3D model of the chassis is created using appropriate modeling software and its structural behavior is analyzed using Ansys Workbench R21.

Abstract: Automotive exhaust thermoelectric generators (AETEG) are gaining traction as a means of reducing fuel usage by directly converting waste heat from exhaust into energy. Materials research, modules, and the thermoelectric generator (TEG) system have all advanced significantly during the last two decades. For such applications, the Seebeck effect principle can be applied. The Seebeck effect is two metals with a common contact point, where the potential is produced due to temperature differences in the other two ends of the metals as a result The Peltier module works on the same basis. This paper analyzes the logical displaying for the Peltier module as far as the primary boundaries required for speedy assessment relying upon the client’s application, like voltage, current, coefficient of execution and effectiveness, warm resistivity, complete inward obstruction, and Seebeck coefficient of the module. These boundaries are typically given by the module’s maker through the datasheet. To show the premise conditions module most suitable for our application and with it derive an optimum placement point for the device on a 2 wheeler vehicle by comparing our simulation and experimental readings. This assisted us in deciding on the optimum material for the Peltier module. After that, it was installed in various positions and readings were taken to determine the maximum power output.

Abstract: This paper presents the design and implementation of the three-wheel holonomic motion system of a mobile robot designed to operate in homes. The holonomic motion system is described in terms of mechanical design. The paper analyzes the kinematics of the motion system. Holonomic drive, in the realm of robotics, refers to the ability to move in all direction and rotate independently. For example, a tank, which has to rotate before it can move in a different direction, would not be holonomic. Holonomic wheels are wheels with 2 degrees of freedom. They are also known as omni-directional drive wheels or omni-wheels for short, sometimes written as omniwheel. The three wheel system proposed in the paper differs from the original 4 wheel Mecanum drive used in most applications. The conventional wheels in our vehicles move in just two directions viz. forward and backward. We have to change their angles with our steering wheels to move the vehicle along another direction. This changes the orientation of the vehicle and it faces in a different direction. Some objectives of the paper are: to help the vehicle traverse in multiple directions without changing its orientation; to provide advanced mobility to the vehicle; to make driving an easier experience. The scope of the project includes: help in parking as there will no longer be a need to change the orientation of the vehicle; the system will help in changing lanes on the road and thereby reduce the chances of accidents. After solving the equation given below we can find out the velocities of the three wheels of the vehicle needed in order to obtain the desired motion. The paper also discuses the difference between four wheel drive and three wheel drive.

Abstract: This paper proposes a cost-effective obstacle detection system for visually challenged individuals, which reduces the number of sensors required to cover the same area in front of the user, by rotating the sensor module. The system consists of time-of-flight sensors that can move to sweep a greater area than the stationary ones. The system transmits the signal to the user via a grid of vibration motors, informing the user of the distance, height, and how far to the side the obstacle lies. The system is tested to check whether the proposed system is viable for the intended purpose.

Abstract: In this paper an attempt is made to reduce causality in the two wheeler accidents, which contributes more than 40% of the total number of road accidents. It is observed that awareness and execution of the traffic rules plays a vital role. Since the number of accidents is increasing every year, any attempt using the latest technological development can save hundreds of lives. Even though it is well known fact that the use of helmet can reduce the head injuries in the accidents, the negligence to use the same invites serious causalities in the two wheeler accidents. The proposed model presented in this paper use the potential of Artificial Intelligence (AI) and an effective implementation of the law to wear helmets for two wheeler passengers is ensured. Presently the law is executed with the strict actions of the traffic enforcement system comprising Police Department and Motor Vehicle Departments of the State. This physical system, address lot of limitations and two wheeler riders often violate the law in the rural roads. AI based smart system, captures sufficient number of images of the passengers wearing different helmets available in the market. These data is used to train the smart system and validated for standard conditions. The outcome of the AI is similar to the decision taken by the human brain, where neurons are acting as the nods. The built in camera placed in the front part of the vehicle capture the images in a sampling time interval of 800 ms. The images are processed to identify the status of the helmet and the response is used to control the speed of the vehicle. The absence of the helmet forces the maximum speed of the vehicle as 20km /hr so that the passenger will voluntarily use the helmet. The experiments shows 86% reliability and it is expected to be improved by the use of high resolution camera and modified algorithms used in the AI system.

Abstract: This paper describes the productivity of pure water by using hybrid nanofluid with three different concentrations (0.08%, 0.12%, 0.16% Al2O3, and a fixed amount of TiO2) in a vacuum environment with help of the experimental setup parabolic solar collectors. The temperature difference at the focal point and non-focal point falling from the parabolic solar collector is 110°C, experiment conduct under climatic conditions of MMMUT, Gorakhpur, India.In this experiment, increasing the concentration ratio between base fluid and nanofluid, respectively 0.8%, 0.12% & 0.16% yielded the productivity 720 ml/h, 805 ml/h & 920 ml/h respectively.

Abstract: Cooling the working surface is a critical operational issue to consider while running solar photovoltaic systems for efficiency improvements. Proper cooling can boost electrical conversion efficiency while also slowing the rate of cell breakdown over time, extending the life of solar modules. This report provided an overview of different approaches that used for minimizing the adverse effects of higher temperature and trying to upgrade the power output production performance of solar photovoltaic panels running above the Standard Test Conditions’ recommended temperature (STC). Enhancing the performance of photovoltaic solar panels via make use of phase-change materials; with water immersion cooling method; Solar PV panel cooled by employing nanofluid; Hybrid solar Photovoltaic/Thermal system cooled by forced air circulation; and Solar panel with Thermoelectric cooling process are all mentioned. A number of research publications are evaluated and classified based on their emphasis, contribution, and solar panel cooling technology. This study found that any suitable cooling technology for solar panels should keep the operating surface temperature low and steady, be simple and reliable, and, if possible, allow the utilization of extracted thermal heat to improve total conversion efficiency. The result of this paper is discussed in detail in the conclusion section.

Abstract: Durability is an important factor for the quality of concrete and to last for long time without remarkable deterioration. The high cost of coating materials limits their large scale application in concrete. In this work a low cost waterborne stearic acid (calcium stearate), a by- product of steel GGBS and Granite waste powder are introduced to improve the water repellent and corrosion resistance properties. Hence, the super hydrophobic coating is prepared by sonicating the synthesized Nano GGBS and Granite waste powder into a mixture containing a hydrophobic agent. Different methods of application of coating such as drop casting and spray coating are used.. This work is carried out to achieve a water contact angle > 100 which is of hydrophobic. The hydrophobic performance and durability of the coated cement mortar has been reported based on the water contact angle, sorptivity, water absorption. Ultrasonic pulse velocity test is done to study the surface porosity on the coated surface. As a result the drop cast specimen exhibited near to the super hydrophobicity with the water contact angle of 145 degree.

Abstract: The aim of the project is to design and analyze a miniature supersonic wind tunnel. . This supersonic wind tunnel will be an intermittent blow down type. The tunnel is operated by using the compressor and pressure vessel with a capacity of 6000 cubic liters at a maximum storage of 12 bar pressure. The tunnel is designed to have a flow of Mach 1.6, Mach 2.1 and Mach 2.6 in a 35mm x 17.5 mm test section. The nozzle was designed using the Method of Characteristics to minimize the shocks in the test section. The tunnel components, C-D nozzle, Test section and the Diffuser has been designed in CATIA. The flow passing through the wind tunnel is simulated by ANSYS (Fluent).

Abstract: People uses hospitals and facilities for recovery and rehabilitation. Keeping a perfect and safe medical care climate is the top most need, and huge advancement should be made in disinfection techniques. Current manual cleaning techniques are not adequate in battling against microorganisms. During treatment of transmissible diseases manual cleaning methods are not a good option in isolation wards and ICUs, as it can cause more danger in transmitting the disease to cleaning staffs. Infection prevention technologies, recovery and rehabilitation of transmissible disease requires an upgradation which will give create changes and give birth to a new era. We can provide better care facilities by using efficient ultra violet disinfection robot. This technology has innumerable characteristics and opportunities to use in other places like offices EMS vehicles and assisted facilities. The system consists of a robot and a monitoring unit. Monitoring unit sense the room parameters like temperature, Carbon Monoxide, Poisonous Gas etc. The officials/doctors can monitor the current room parameters at IoT cloud server, without going to the room. Once the parameters are checked, we can navigate the robot using IoT based wireless communication. Robotic system receives the data from server and goes to the isolation wards/labs/ICU. Robotic navigation is controlled by joystick and the robot will carry out the disinfection process by the help of UV light attached to it.

Abstract: Digital assaults against people, organizations, and associations have expanded as of lately. Digital crooks are continually searching for powerful vectors to convey malware to casualties to dispatch an assault. Assailants for the most part utilize an order and control (C2) worker to control the correspondence. To play out an assault, danger entertainers regularly utilize an area age calculation. DGA is a robotization procedure that aggressors use to make it harder for protectors to ensure against assaults. DGA permit malware to speak with C2 by producing an assortment of organization areas. Proposing an AI structure for recognizing and distinguishing DGA areas to lighten the danger. The proposed AI structure comprises of a two-level model and an expectation model. In the two-level model, we initially characterize the DGA areas separated from typical spaces and afterward utilize the grouping technique to distinguish the calculations that create those DGA areas.

Abstract: The ride-sharing services became highly regarded in urban transport and is one in all the 5 main shared economies. As we all know the dynamic developments among urban transport systems have created ride sharing capable enough to substitute cab services. This project creates a ride sharing platform wherever we will share our personal vehicle with the person having the same destination to hide. It helps individuals to avoid wasting time, money, fuel and helps nature in its quick recovery. Automobile Pooling may be a great way to burn up the total commodiousness of a car/bike, which might otherwise stay unused if it were simply the driving force victimising the car/bike. Our plan is basically straightforward as, if user A desires to move from a town with his/her vehicle, whereas user B ought to venture intent on a spot in between the destination of user A, user B will move towards user A lawfully through our platform. For this service, user B is charged a little fare,which in fact, is a smaller amount than the prevailing taxi charges. We tend to respect our customer’s security and use measures utilizing image process techniques to avoid frauds. Through cross checking between the user’s govt. approved id and live selfie, we will make sure that the registered person itself is sharing the ride. The user giving the ride will opt for the amount of seats to supply in line with the commodiousness of his car/bike. Another nice advantage is that we tend to be serving to cut back the amount of personal vehicles on the road , therefore tributary to a far better system and a better tomorrow. Our project will certainly be useful for individuals with no personal vehicle. The top technologies used are Flutter, Firebase, Image process, ML and so on. Our final aim is to cut back traffic and pollution, thus creating the planet a betterplace.